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Computational Optimization Scientist

Location: 

Bangalore, KA, IN

Company:  ExxonMobil

Job Role Summary

 

 

We are looking for optimization specialists to work on challenging problems for our business, including exploration, development, production, marketing and transportation of hydrocarbons. Select areas of application for this work include economic modeling and analysis, logistics optimization and simulation, development of planning and scheduling optimization applications. Skills or interest in data analytics would be advantageous.


 
Job Responsibilities:

 

 

  • Use data visualization and mathematical programming along with domain knowledge and subject-specific models to solve science, engineering, logistics and commercial problems
  • Work with oil & gas business partners to develop, solve and support mathematical optimization models that enhance business decision-making capability and increase operating efficiency.
  • Contribute to all stages of decision model development and deployment
  • Process unstructured data into a form suitable for analysis
  • Build mathematical optimization models using proprietary and vendor tools (e.g., AIMMS) to model business problems in support of decision-making
  • Analyze mathematical optimization and simulation results and develop technical reports and presentations

 
Job Requirements:

 

 

  • Master’s degree/ PhD degree from a recognized university in Operations Research, (Applied) Mathematics, (Applied) Statistics, Industrial Engineering or other disciplines with significant experience in mathematical optimization; minimum GPA 7.0(out of 10.0) and above. 
  • Professional / post-graduate level work experience in mathematical optimization
  • Candidates with a Bachelor’s degree in an Engineering field or Economics will be preferred
  • Experience with at least one mathematical programming language (e.g., AIMMS, GAMS, AMPL, Mosel, OPL) is required
  • Experience in C++, C#, Python, MATLAB, or R is preferred
  • Required technical skills include linear programming and integer programming
  • Preferred technical skills include nonlinear programming, economics, and stochastic modeling
  • Excellent communication skills and experience working in a collaborative environment is required
  • Knowledge of numerical methods for linear algebra is an advantage
  • Experience in technical software development is an advantage
  • Experience working in Linux and in a High Performance Computing environment is an advantage
  • Previous work experience in the oil and gas industry is an advantage
     

 

 


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